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Kursteilnehmer-Bewertung und -Feedback für Big Data Modeling and Management Systems von University of California San Diego

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2,684 Bewertungen
446 Bewertungen

Über den Kurs

Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each. You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools. Through guided hands-on tutorials, you will become familiar with techniques using real-time and semi-structured data examples. Systems and tools discussed include: AsterixDB, HP Vertica, Impala, Neo4j, Redis, SparkSQL. This course provides techniques to extract value from existing untapped data sources and discovering new data sources. At the end of this course, you will be able to: * Recognize different data elements in your own work and in everyday life problems * Explain why your team needs to design a Big Data Infrastructure Plan and Information System Design * Identify the frequent data operations required for various types of data * Select a data model to suit the characteristics of your data * Apply techniques to handle streaming data * Differentiate between a traditional Database Management System and a Big Data Management System * Appreciate why there are so many data management systems * Design a big data information system for an online game company This course is for those new to data science. Completion of Intro to Big Data is recommended. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. Refer to the specialization technical requirements for complete hardware and software specifications. Hardware Requirements: (A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. Software Requirements: This course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+....

Top-Bewertungen

MP

Oct 17, 2017

Good Explanations of Concepts and Nice Tests. I got a trilling experience in completing the peer Assignments with keen observation and Analyzing of Concepts learned.Thanq for your course very much.

VG

Mar 28, 2017

Nice course to describe the traditional data modeling (RDBMS) as well as various semi-structured and un-structured data modeling and management of the systems (Batch and Streaming data processing)

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51 - 75 von 435 Bewertungen für Big Data Modeling and Management Systems

von Nick B

Nov 19, 2018

This is a good course to learn more about the big data environment and how things work within it.

von Gustavo I M

Nov 14, 2018

that was more difficult than last one, but its so important to take an overview about every think

von Ashenafi

Jul 06, 2017

well organized and precise hands on exercises that helped me to understand the subject in detail.

von Luis A R

Nov 28, 2018

Excelente curso, falta un poco mas de uso práctico de las herramientas para manejo de Big Data.

von Sourav K C

May 03, 2018

This has been an excellent course helping me to learn the basics of Big data and its management

von DONGMO M

Aug 08, 2017

Very useful course.

Needed only one week to finish the course even though I'm working full time.

von Savitha R

Sep 15, 2018

Bit tough concepts. The concepts get evaporated in sometime. Still trying to hold onto it :).

von Hans E

Oct 22, 2017

Good mix of theory and practice. Nice hands-on excercises with Twitter, MongoDb, Posgres etc.

von Selim S

Nov 02, 2016

LEarned a lot, wasn't easy but it was manageble for someone like me who has no IT background

von João F

Jun 18, 2020

Very good course. Clearly explained. Interesting hands-on exercises in the virtual machine.

von Diogo M

Jul 22, 2019

Nice Course, The possibility of use an cloudera image for hands on is so great for çearning

von S. M Y I

Mar 23, 2020

The course laid a good theoretical base for further exploration of Big data Analytics.

von Tandy S

Sep 22, 2017

It's a great source to understand what is Big Data from concepts to its technologies

von Suresh V

Apr 20, 2017

I really enjoy learning for the first time after a long time. I will keep learning.

von Vivek T

Jun 30, 2019

This course was so good which focuses on the basics and also on hands-on sessions.

von SANJEEVE K G

Dec 19, 2018

Thanks lot to Coursera

given me new life to me

I want to go further in this course

von Mohamed F

Mar 14, 2017

very nice and interesting course i recommend it for anyone start new in big data

von Sayed T S

Apr 13, 2017

It was a great course from the best place in the world and best instructors .

von Pablo A L Z

Jul 10, 2020

Realmente es un excelente curo, no me puedo quejar lo de todo lo que aprendi

von Siddharth G

Jul 19, 2020

A really great course for getting info about big data management systems.

von igor s

Dec 18, 2016

Simply another great course within Coursera courses, thank you very much.

von Mandar T

Aug 17, 2020

Amazing course with very relevant content and great course delivery!

von Kumar A

Oct 22, 2019

Well rounded course with theoretical discussion and hand-on sessions

von Raunak S

Mar 14, 2018

great course for those who wish to go beyond the basics of big data.

von Laura R

Jul 29, 2020

Very interesting hand on training and useful teoretical information